Multi-stage chromatic aberration correction for XR
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Solution Overview
Problem
Existing equipment and techniques for generating images in immersive extended-reality (XR) technologies suffer from chromatic aberration, leading to color fringing effects and inefficient, computationally-intensive correction methods that impact image quality and user experience.
Innovation Solution
A system and method that utilize multi-stage chromatic aberration correction, where a server obtains calibration data and applies chromatic aberration correction to image frames before sending them to client devices, reducing computational burden and enhancing image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional chromatic aberration correction is applied, then color distortion is reduced, but computational complexity and processing time increase significantly
Solution Approach 1:
The chromatic aberration correction is divided into two stages: a first stage performed on the client device for real-time correction, and a second stage performed on a server for enhanced correction. This segmentation allows the system to balance computational load between devices, reducing the complexity burden on the client while maintaining correction quality.
Solution Approach 2:
The system performs preliminary chromatic aberration correction on the client device before transmitting images to the server. This preliminary action reduces the computational complexity required for subsequent processing and allows the server to focus on finer adjustments, improving overall efficiency.
2Manufacturing precision
If multiple texture lookups per pixel are performed for chromatic aberration correction, then correction accuracy improves, but memory access efficiency deteriorates due to cache thrashing
Solution Approach 1:
The correction process is segmented between client and server, with the client performing initial correction and the server performing refinement. This reduces the number of texture lookups required at each stage, improving memory access efficiency while maintaining correction accuracy through the two-stage approach.
Solution Approach 2:
The system changes the parameters of correction by performing different types of corrections at different stages: the client performs geometric correction while the server performs color correction. This parameter differentiation reduces redundant texture lookups and improves memory access patterns.
3Object-affected harmful factors
If reprojections are performed multiple times for chromatic aberration correction, then correction quality improves, but processing time increases
Solution Approach 1:
The reprojection operations are segmented into two stages: a first reprojection performed on the client device and a second reprojection performed on the server. This segmentation distributes the time-consuming operations across different devices and time periods, reducing the perceived processing time while maintaining correction quality.
Solution Approach 2:
The client performs preliminary reprojection and correction before sending images to the server. This preliminary action reduces the amount of work required for subsequent server-side processing, effectively reducing total processing time while maintaining correction quality through the multi-stage approach.
Data Source
AI summary
Calibration data pertaining to chromatic aberration in optics of client device(s) is obtained by server(s). First pose information indicative of at least a pose of the client device(s) over a first time period is received at server(s) from the client device(s). A first predicted pose of the client device(s) corresponding to a future time instant is estimated, at the server(s), based on first pose information. An image frame is reprojected from an initial pose to the first predicted pose, at the server(s), to generate a first reprojected image frame. A chromatic aberration correction is applied on the first reprojected image frame, at the server(s), based on the calibration data, to generate a first output image frame. The first output image frame is sent from the server(s) to client device(s).